Joint Relay Selection and Power Allocation in Underwater Cognitive Acoustic Cooperative System with Limited Feedback

Abstract

We study the problem of joint relay selection and power allocation in a underwater cooperative system with multiple users assisted by multiple relays. Due to the harsh underwater environments, the channel state information (CSI) at the transmitter is imperfect, which leads to the performance degrading in the underwater cooperative acoustic system. Therefore, we analyze the cooperative underwater acoustic channel with limited feedback to increase the sum-rate of the system. Meanwhile, different from other researches, we do not only focus on the single system scenario, but also consider the presence of nearby acoustic activities and the problem of joint relay selection and power allocation is solved in a cognitive acoustic (CA) scenario. Thus the codebook of interference CSI and the codebook of quantized relay selection and power allocation strategy are designed, respectively. Simulation results show that a few bits feedback can significantly improve the performance of the CA cooperative acoustic system.